Literature DB >> 29784559

Anodic versus cathodic neurostimulation of the subthalamic nucleus: A randomized-controlled study of acute clinical effects.

Anna Dalal Kirsch1, Sharon Hassin-Baer2, Cordula Matthies3, Jens Volkmann1, Frank Steigerwald4.   

Abstract

INTRODUCTION: Stimulation settings of deep brain stimulation (DBS) have evolved empirically within a limited parameter space dictated by first generation devices. There is a need for controlled clinical studies, which evaluate efficacy and safety of established programming practice against novel programming options provided by modern neurostimulation devices.
METHODS: Here, we tested a polarity reversal from conventional monopolar cathodic to anodic stimulation in an acute double-blind, randomized, cross-over study in patients with PD implanted with bilateral STN DBS. The primary outcome measure was the difference between efficacy and side-effect thresholds (current amplitude, mA) in a monopolar review and the severity of motor symptoms (as assessed by MDS-UPDRS III ratings) after 30 min of continuous stimulation in the medication off-state.
RESULTS: Effect and side effect thresholds were significantly higher with anodic compared to cathodic stimulation (3.36 ± 1.58 mA vs. 1.99 ± 1.37 mA; 6.05 ± 1.52 mA vs. 4.15 ± 1.13 mA; both p < 0.0001). However, using a predefined amplitude of 0.5 mA below the respective adverse effect threshold, blinded MDS-UPDRS-III-ratings were significantly lower with anodic stimulation (anodic: median 17 [min: 12, max: 25]; cathodic: 23 [12, 37]; p < 0.005).
CONCLUSION: Effective anodic stimulation requires a higher charge injection into the tissue, but may provide a better reduction of off-period motor symptoms within the individual therapeutic window. Therefore, a programming change to anodic stimulation may be considered in patients suffering from residual off-period motor symptoms of PD despite reaching the adverse effect threshold of cathodic stimulation in the subthalamic nucleus.
Copyright © 2018 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Anodic stimulation; Deep brain stimulation; Parkinson's disease; Subthalamic nucleus

Mesh:

Year:  2018        PMID: 29784559     DOI: 10.1016/j.parkreldis.2018.05.015

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  11 in total

1.  A retrospective evaluation of automated optimization of deep brain stimulation parameters.

Authors:  Johannes Vorwerk; Andrea A Brock; Daria N Anderson; John D Rolston; Christopher R Butson
Journal:  J Neural Eng       Date:  2019-11-06       Impact factor: 5.379

2.  Deep brain stimulation of terminating axons.

Authors:  Kelsey L Bower; Cameron C McIntyre
Journal:  Brain Stimul       Date:  2020-09-09       Impact factor: 8.955

3.  Novel Deep Brain Stimulation Technologies for Parkinson's Disease: More Expectations, More Frustrations?

Authors:  Derrick Soh; Timo R Ten Brinke; Andres M Lozano; Alfonso Fasano
Journal:  Mov Disord Clin Pract       Date:  2019-11-14

4.  Latency of subthalamic nucleus deep brain stimulation-evoked cortical activity as a potential biomarker for postoperative motor side effects.

Authors:  Zachary T Irwin; Mohammad Z Awad; Christopher L Gonzalez; Arie Nakhmani; J Nicole Bentley; Thomas A Moore; Kenneth G Smithson; Barton L Guthrie; Harrison C Walker
Journal:  Clin Neurophysiol       Date:  2020-03-12       Impact factor: 3.708

5.  Anodic stimulation misunderstood: preferential activation of fiber orientations with anodic waveforms in deep brain stimulation.

Authors:  Daria Nesterovich Anderson; Gordon Duffley; Johannes Vorwerk; Alan D Dorval; Christopher R Butson
Journal:  J Neural Eng       Date:  2018-10-02       Impact factor: 5.379

6.  A Driving-Force Predictor for Estimating Pathway Activation in Patient-Specific Models of Deep Brain Stimulation.

Authors:  Bryan Howell; Kabilar Gunalan; Cameron C McIntyre
Journal:  Neuromodulation       Date:  2019-02-18

7.  Subthalamic deep brain stimulation of an anatomically detailed model of the human hyperdirect pathway.

Authors:  Clayton S Bingham; Cameron C McIntyre
Journal:  J Neurophysiol       Date:  2022-03-23       Impact factor: 2.974

8.  Computational investigation of the impact of deep brain stimulation contact size and shape on neural selectivity.

Authors:  Daria Nesterovich Anderson; Alan D Dorval; John D Rolston; Stefan M Pulst; Collin J Anderson
Journal:  J Neural Eng       Date:  2021-04-06       Impact factor: 5.379

Review 9.  Technology of deep brain stimulation: current status and future directions.

Authors:  Joachim K Krauss; Nir Lipsman; Tipu Aziz; Alexandre Boutet; Peter Brown; Jin Woo Chang; Benjamin Davidson; Warren M Grill; Marwan I Hariz; Andreas Horn; Michael Schulder; Antonios Mammis; Peter A Tass; Jens Volkmann; Andres M Lozano
Journal:  Nat Rev Neurol       Date:  2020-11-26       Impact factor: 42.937

10.  In silico Accuracy and Energy Efficiency of Two Steering Paradigms in Directional Deep Brain Stimulation.

Authors:  León Mauricio Juárez-Paz
Journal:  Front Neurol       Date:  2020-10-30       Impact factor: 4.003

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